Using Python API: Check all elements in a list are a valid RIC

My ultimate aim is to be able to do a Ekion Python API query like this
df_ric, err = ek.get_data(RIC_List,
['TR.PriceClose','TRDPRC_1'],)
Where RIC_List has 1800 elements, 99% of which are RICs in string format and the remaining 1% are not RICs and need to be skipped automatically. (Querying each element using a "try" function takes too long, so I hope the 1 big query is faster).
My thoughts are to do this in two steps
1. Feed the list into 1 Reuters Ekion Python API query that returns if each element in the list is in fact a RIC, with the output being a smaller list "RIC_List2" with only RICs.
2. Feed "RIC_List2" into the initial code written above to get all the data i need.
Please let me know if it is possible to do something like (1.) or any other ideas
to put in another way I would want something like
test_list= [[nan],'ASML.AS','adjfoi;dsa','NOVN.S']
to eventually return
Instrument Price Close TRDPRC_1
0 ASML.AS 547.1 554.6
1 NOVN.S 91.94 88.09
(04/10/2023, 13:55 UK Time)
Thanks in advance
Best Answer
-
Hi @toby.mcmanners ,
Can it be this way
# import libraries
import refinitiv.data.eikon as ek
ek.set_app_key('DEFAULT_CODE_BOOK_APP_KEY')
import numpy as np
# define ric list (with invalid values)
RIC_List=[None,'ASML.AS','adjfoi;dsa','NOVN.S']
# remove None value as it cannot be passing into get_data function
ric_list_not_none = [x for x in RIC_List if x is not None]
# use the ric list above to retrieve data on field 'TR.RIC'
df_ric, err = ek.get_data(ric_list_not_none,
['TR.RIC'])
# drop row with empty value in RIC column
df_ric['RIC'].replace('', np.nan, inplace=True)
df_ric.dropna(subset=['RIC'], inplace=True)
# convert RIC column to RIC list
valid_ric_list = df_ric['RIC'].to_list()
# retrive the data
df_ric, err = ek.get_data(valid_ric_list,
['TR.PriceClose','TRDPRC_1'])
df_ric0
Answers
-
Hi - is this answer still valid? I tried the same but got below error:
lseg.data._errors.LDError: Backend error. 400 Bad Request Requested universes: ['XBI.N']. Requested fields: ['TR.RIC']
My code is:
import lseg.data as rd session = rd.session.platform.Definition(
app_key='',
grant=rd.session.platform.GrantPassword(
username='',
password=''
)
).get_session() rd.session.set_default(session)
rd.open_session() df_ric = rd.get_data(['XBI.N'], ['TR.RIC'])
print(df_ric)0 -
I can run it properly.
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